An Adaptive Compression Technique for Efficient Video Reconstruction in Future Generation Wireless Network

Abstract

The mmwave (millimeter wave) with massive MIMO (Multiple-input and multiple-output) leverages larger antennas with spatial diversity and multiplexing gain brings about positive vibe for future generation wireless networks for provisioning bandwidth hungry multimedia applications However, the fronthaul link that links a remote radio head (RRH) and carries video frames as bitstreams to the baseband unit (BBU) can fluctuate the overall speed and capacity of massive MIMO if suitable data compression (encoding-decoding) techniques are not functional. This paper presents an error detection aware compression (EDAC) scheme which first performs encoding using low-rank approximation considering both spatial and time domain to reduce video frame size; later, the encoded video frames are compressed using Huffman codewords. Experiment outcome shows the proposed video compression model achieves much better compression efficiency with improved bit error rate (BER), symbol error rate (SER), error vector magnitude (EVM), and compression ratio when compared with the fixed code dictionary huffman video coding (FCDHVC), exiting video compression (EVC) technique and huffman video coding (HVC). The proposed EDAC model achieved compression efficiency of 30.52 whereas the FCDHVC, EVC and HVC model achieved compression efficiency of 26.50, 21.75 and 22.35 respectively.

Video perception enhancement using effective encoding optimization in future generation wireless network

“…This work presents a perceptual quality aware video encoding (PQAVE) technique for achieving bringing good tradeoffs between improved video reconstruction error reduction, higher coding efficiency and enhanced video reconstruction quality in massive multiple-input multiple-output (MIMO) wireless network. The work uses a similar architecture as defined [14]; Thulajanaik and Manjanaik [14] focused in reducing the video sequence size and transmit the video in MIMO wireless network. However, the encoding model presented in [14] failed to consider perceptual quality enhancement.…”

“…The work uses a similar architecture as defined [14]; Thulajanaik and Manjanaik [14] focused in reducing the video sequence size and transmit the video in MIMO wireless network. However, the encoding model presented in [14] failed to consider perceptual quality enhancement. This paper introduces a novel bitoptimization design that enhance the perceptual quality of video with limited amount bits leveraging tempo spatial power spectrum and sensitivity measure.…”

“…Several significant problems with the existing JND-based PVC approaches are described at length in section 2. For the most part, present JND techniques fail to integrate visual perception techniques alongside JND, simply anticipate the level of JND for every frame or certain individual frames in a video-sequence [10], ignoring the various perceptual significance of video areas inside every frame [12], ignoring the effect of temporal video dynamics, and consider design using spatial feature only [13] which necessitates longer encoding periods [14]. In addressing this paper introduce a two-phase model.…”